Instructions to use karim155/convnext-tiny-224-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karim155/convnext-tiny-224-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="karim155/convnext-tiny-224-finetuned") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("karim155/convnext-tiny-224-finetuned") model = AutoModelForImageClassification.from_pretrained("karim155/convnext-tiny-224-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from karim155/convnext-tiny-224-finetuned: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/karim155/convnext-tiny-224-finetuned/resolve/120173b3ba1f5bf08278da440e45ebb0a47bd2ed/training_args.bin
- Command line
-
hf download hf://karim155/convnext-tiny-224-finetuned@120173b3ba1f5bf08278da440e45ebb0a47bd2ed/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/karim155/convnext-tiny-224-finetuned/resolve/120173b3ba1f5bf08278da440e45ebb0a47bd2ed/training_args.bin
5.24 kB
- Xet hash:
- 3972fd3fa9d301afa3db1b859426424029fee8e38a11df1d25d87967b5255796
- Size of remote file:
- 5.24 kB
- SHA256:
- ea801804a43835bfb808f9ae84096f50609e36064470b2d7f52c2d7e149ea5e0
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